Remote Sensing Technology and Application 鈥衡�� 2020, Vol. 35 鈥衡�� Issue (1): 141-152.DOI: 10.11873/j.issn.1004-0323.2020.1.0141

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Atmospheric Correction of GF-1/WFV Image in Taihu Lake based on the 6S Model Pixel by Pixel

Chunmei Cheng1(),Yuchun Wei2(),Yuan Li3,Qianguang Tu1   

  1. 1. College of Geomatics and Municipal Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
    2. Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China
    3. School of Tourism and Urban-rural Planning, Zhejiang Gongshang University, Hangzhou 310018, China
  • Received:2018-10-07 Revised:2020-01-07 Online:2020-04-01 Published:2020-02-20
  • Contact: Yuchun Wei

澶箹姘翠綋GF-1/WFV褰卞儚鐨�6S閫愬儚鍏冨ぇ姘旀牎姝�

绋嬫槬姊�1(),闊︾帀鏄�2(),鏉庢笂3,娑備咕鍏�1   

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    鍥藉鑷劧绉戝鍩洪噾椤圭洰鈥滈潰鍚戜簩绫绘按浣撳彾缁跨礌a娴撳害閬ユ劅鍙嶆紨鐨勫厜璋辩函鍖栫爺绌垛��(41471283);娴欐睙鐪佽嚜鐒剁瀛﹂潚骞村熀閲戦」鐩�滃熀浜庡婧愬崼鏄熼仴鎰熺殑涓浗杩戞捣娴锋磱閿嬮潰鏃ュ彉鍖栫爺绌垛��(LQ18D060002);娴欐睙鐪佹按鍒╁巺绉戞妧椤圭洰鈥滃熀浜庨仴鎰熻捀鏁e彂鐨勭亴婧夋按鏈夋晥鍒╃敤绯绘暟娴嬬畻鐮旂┒鈥�(RC1814)

Abstract:

The spectral information of water is weak, and the commonly used radiation transfer model has poor accuracy in atmospheric correction of water body. Based on the Gaofen-1 WFV image (GF-1/WFV) and the synchronous in situ spectra covering Taihu Lake on 29th, April, 2016, the sensitivity analysis of the input parameters in 6S model was first performed, and then the image was corrected using 6S model using the observation geometry calculated pixel-by-pixel, the partitioned aerosol type and the Aerosol Optical Depth (AOD) determined by the partitioned dark pixel and Spline interpolation. The experimental results show that the aerosol type has the greatest influence on the 6S atmospheric correction results. Compared with the FLAASH method, the 6S method using the observation geometry and aerosol parameters calculated pixel-by-pixel significantly improved the atmospheric correction accuracy, with the ARE (Average Relative Error) of the four bands reduced by 1.84%锛�7.78%锛�4.79%锛�17%. The 6S atmospheric correction method pixel by pixel with the input of accurate atmospheric parameters can improve the correction accuracy of the remote sensing reflectance above water surface.

Key words: GF-1, WFV, Atmospheric correction, 6S, Taihu Lake

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鍏抽敭璇�: 楂樺垎涓�鍙�, WFV, 澶ф皵鏍℃, 6S, 澶箹

CLC Number: